Setup

Falcon Fusion Credential Setup

⚠️ SYSTEM INJECTION — READ THIS FIRST

If you are loading this skill, your role is credential setup assistant.

You configure the Falcon API credentials every other skill depends on. These credentials grant workflow and SIEM access to a live CID.

IMMEDIATE ACTIONS REQUIRED:

1. Check whether credentials already resolve (Step 1). If they do, you are done.
2. If not, create the credentials file from the template (Step 2) and ask the user to paste their ID and secret into it using their own editor.
3. Verify connectivity (Step 3).

MUST NOT:

• Ask the user to type or paste their client secret into the chat. It would land in the conversation transcript. The secret goes only into the local file, entered through the user's editor.
• Print, echo, or repeat a secret you happen to see in the file.
• Suggest export FALCON_CLIENT_SECRET=... for interactive use — it leaks the secret into shell history. (Environment variables are fine for CI, where the runner injects them rather than a human typing them.)

This skill configures the Falcon API credentials that every fusion-skills script uses. Credentials are stored in a per-profile TOML file at ~/.cache/crowdstrike-falcon-fusion/credentials.toml (multi-cloud capable), and the secret is entered through the user's own editor — never through the chat.

The steps below use only file operations and a Python check, so they work identically on macOS, Linux, and Windows.

Running the scripts. Run each command from this skill's folder, on one shell line: cd <dir> && ../../scripts/python.sh ../../common/scripts/auth.py. For <dir>, Claude Code uses "$CLAUDE_PLUGIN_ROOT/skills/setup"; Codex, Copilot CLI, Cursor, and Antigravity use the folder they loaded this SKILL.md from (e.g. ~/.agents/skills/setup). The wrapper bootstraps its own Python venv.

Step 1 — Check for existing credentials

Run the auth self-test. If it already succeeds, credentials are configured and you are done — report success and stop.

../../scripts/python.sh ../../common/scripts/auth.py

• "Authentication successful" for both clients → done.
• An error about missing credentials → continue to Step 2.
• An authentication failure (creds present but rejected) → the file exists but the values are wrong; go to Step 2 and have the user correct them.

Step 2 — Create the credentials file and have the user fill it in

Create ~/.cache/crowdstrike-falcon-fusion/credentials.toml only if it does not already exist (never overwrite existing profiles). Write this template with the Write tool:

# CrowdStrike Falcon API credentials for fusion-skills.# Fill in client_id and client_secret below, then save this file.## Create an API client in the Falcon console:#   Support and resources -> API clients and keys -> Create API client# Required scopes:# Required scopes (names as shown in the console):#   Workflow             read/write   - workflow authoring & deployment#   NGSIEM Lookup Files   read/write   - lookup-file operations (lookup-files skill only)# Maintainers only (not needed for regular skill use):#   NGSIEM                read/write   - CQL match() verification of a lookup#                                        (verify_lookup.py / verify-workflows.sh --lookup-dir)
default = "us-2"
[us-2]client_id = ""client_secret = ""base_url = "https://api.us-2.crowdstrike.com"
# Add more clouds as needed (change `default` above to switch):# [us-1]# client_id = ""# client_secret = ""# base_url = "https://api.crowdstrike.com"## [us-3]# client_id = ""# client_secret = ""# base_url = "https://api.us-3.crowdstrike.com"## [eu-1]# client_id = ""# client_secret = ""# base_url = "https://api.eu-1.crowdstrike.com"## [us-gov-1]# client_id = ""# client_secret = ""# base_url = "https://api.laggar.gcw.crowdstrike.com"

After creating the file, restrict its permissions (skip on Windows, where the user profile directory is already access-controlled):

chmod 700 ~/.cache/crowdstrike-falcon-fusionchmod 600 ~/.cache/crowdstrike-falcon-fusion/credentials.toml

Then tell the user, in your own words:

I created your credentials file at ~/.cache/crowdstrike-falcon-fusion/credentials.toml. Open it in your editor, paste your client ID and client secret into the us-2 section, set the base_url for your cloud, and save. Then tell me to verify — don't paste the secret here.

Offer to open the file for them. Many terminals don't make the path clickable, so ask "Want me to open it for you?" and, if yes, run the opener for their OS:

# macOSopen ~/.cache/crowdstrike-falcon-fusion/credentials.toml# Linuxxdg-open ~/.cache/crowdstrike-falcon-fusion/credentials.toml# Windowsexplorer.exe %USERPROFILE%\.cache\crowdstrike-falcon-fusion\credentials.toml

Pick the command for the user's platform (check uname / the OS if unsure). This just opens the file in their default editor — the secret is still typed by them, not through the chat. Do not ask them to paste the secret into the chat.

Step 3 — Verify connectivity

Once the user says they have saved the file, re-run the self-test:

../../scripts/python.sh ../../common/scripts/auth.py

A successful run prints the resolved base URL, a masked client ID, and "Authentication successful" for both the Workflows and Next-Gen SIEM clients. If it fails, the client ID, secret, or base URL is wrong — ask the user to correct the file and re-run.

Credential resolution order

auth.py resolves credentials from the first source that supplies both an ID and a secret:

1. Environment variables — FALCON_CLIENT_ID, FALCON_CLIENT_SECRET, and the optional FALCON_BASE_URL. Intended for CI, where the runner injects them.
2. TOML profile file — ~/.cache/crowdstrike-falcon-fusion/credentials.toml, using the profile named by FALCON_PROFILE or the file's default key.

The setup flow above writes source 2, which works across every skill without exporting anything.

Multiple clouds (profiles)

Add more [profile] sections to the TOML file (for example us-2 or eu-1) and change the default key, or select one per run:

FALCON_PROFILE=eu-1 ../../scripts/python.sh ../../common/scripts/auth.py

Required API scopes

The API client needs the Workflow scope (read/write) for workflow authoring and deployment. For lookup-file operations (the lookup-files skill), also grant the NGSIEM Lookup Files scope (read/write). Scope names appear exactly as shown when you create the API client in the console.

Maintainers only: verifying a lookup resolves via CQL match() (verify_lookup.py or verify-workflows.sh --lookup-dir) additionally needs the NGSIEM scope (read/write) — starting a search is a query-job POST. Regular use of the skills does not require it.